AtScale provides a universal semantic layer platform that connects various data sources to business intelligence and AI tools, enabling users to access and analyze data using familiar business terminology. This technology eliminates data discrepancies and enhances decision-making by delivering consistent metrics and real-time insights without the need for data movement.
Funding
$50M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MSFounders
Product
Problem
Organizations struggle to provide consistent data definitions and business logic across various business intelligence (BI) and AI tools, leading to discrepancies, untrusted insights, and inefficient data workflows. Traditional data silos and the need for extensive data movement further complicate the process of delivering unified and governed data access to end-users.
Solution
AtScale offers a universal semantic layer platform that connects directly to diverse data sources, enabling users to access and analyze data using familiar business terms within their preferred BI and AI tools. By defining metrics, dimensions, and relationships in a central location, AtScale ensures consistent KPIs and reusable data models across the organization, eliminating data discrepancies and delivering accurate, trusted results. The platform supports live data access without requiring data movement, while automated query performance tuning ensures "speed-of-thought" analytics. AtScale also provides business context to AI models, improving the accuracy of natural language queries and enabling text-to-SQL generation.
Target Audience
AtScale targets enterprises seeking to provide consistent, governed, and high-performance data access to business analysts, data scientists, and other data consumers across various BI, analytics, and AI applications.
Features
- Universal semantic layer that connects to various data sources without data movement
- Consistent metrics and reusable data models across all BI and AI tools
- Automated query performance tuning for fast analytics
- Multi-dimensional business logic support for complex business concepts
- Support for SQL, MDX, DAX, Python, and REST protocols
- Integration with LLMs to provide business context for GenAI and text-to-SQL applications
- Code and no-code solutions for data modeling, fostering collaboration between data engineers and business analysts